This course provides the essential mathematics required to succeed in the finance and economics related modules of the Global MBA, including equations, functions, derivatives, and matrices. You can test your understanding with quizzes and worksheets, while more advanced content will be available if you want to push yourself.
This course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study.
If completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/.
This course is endorsed by CMI

SR

it is really useful for student who doing MBA,IMBA or GMBA . the teaching style and video skill are excellent. love it so much

AM

May 31, 2017

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This course brushes the basics of maths such as equations, functions, differentiation and matrices!

From the lesson

Matrices

The analysis and even the comprehension of systems of linear equations is much easier when we use key mathematic concepts such as matrices, vectors, and determinants. This week, we’ll introduce these concepts and explain their application to economic models

Taught By

George Kapetanios

Professor of Finance and Econometrics

Transcript

[MUSIC] We have to transpose our metrics when the rows in the columns of a metrics a, are interchanged so that the first row of the metrics becomes the first column and vice versa. The transpose of A is denoted by A prime or AT. Given the metrics A of dimension 2 times 3 equal to 3, 2 minus 5 in the first row. >> 0 to 7, in the second row, and matrix B, of the dimensional 3 times 2 equal to 7,1, in the first row, 2,8 in the second row,0,7 in the third row. We can interchange the rows and the columns and right. For matrix's A, we have matrix's A prime of dimensions 3 times 2 equals to 3,0 in the first row, 2, 2 in the second row minus 5, 7 in the third row. For matrix B, we have matrix B prime of dimension 2 times 3 equal to 7, 2, and 0 in the first row, 1, 8, and 7 in the second row. By definition, if a metrics a is an m times n, then it's transposed a prime must be n times n. It is easy to see that an n times n squared matrix has a transpose with the same denomination. If we have the matrix C of dimension 2 times 2 equal to 7, 14, in the first row, 21, 28, in the second row. This becomes c prime of dimension 2 times 2 equal to 7, 21 in the first row, 14, 28 in the second row. [MUSIC]

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